Unique equilibria and substitution effects in a stochastic model of the marriage market
Colin Decker, Elliott H. Lieb, Robert J. McCann, Benjamin K. Stephens

TL;DR
This paper proves the uniqueness and explicit form of equilibrium distributions in a stochastic marriage market model with random preferences, enabling analysis of substitution effects and comparative statics.
Contribution
It provides a new proof of equilibrium existence, establishes uniqueness, and derives explicit formulas for the distribution and substitution effects in the model.
Findings
Equilibrium marriage distribution is unique and explicitly represented.
Increased male population of a type raises single men and transfer payments.
The model predicts symmetric positive-definite substitution matrices.
Abstract
Choo-Siow (2006) proposed a model for the marriage market which allows for random identically distributed noise in the preferences of each of the participants. The randomness is McFadden-type, which permits an explicit resolution of the equilibrium preference probabilities. The purpose of this note is to prove uniqueness of the resulting equilibrium marriage distribution, and find a representation of it in closed form. This allows us to derive smooth dependence of this distribution on exogenous preference and population parameters, and establish sign, symmetry, and size of the various substitution effects, facilitating comparative statics. For example, we show that an increase in the population of men of any given type in this model leads to an increase in single men of each type, and a decrease in single women of each type. We show that an increase in the number of men of a given type…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGender, Labor, and Family Dynamics · Family Dynamics and Relationships · Insurance, Mortality, Demography, Risk Management
